Evidence map›Paper›PMID 42708429›Full record

ArticleThe international journal of medical robotics + computer assisted surgery : MRCAS2026

A Thermo-Fluid-Solid Model Thermal Damage Prediction in Laser Ablation Therapy.

Shiling Song, Yuexuan Wang, Zhengzhao Li, Minghui Tan, Yang Liu, Jiachen Pan, Na Guo, Qinjian Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The international journal of medical robotics + computer assisted surgery : MRCAS, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Shiling SongSchool of Mechanical and Electrical Engineering, Beijing Information Science & Technology University, Beijing, China.ORCID https://orcid.org/0009-0009-7126-4875
Yuexuan WangSchool of Mechanical and Electrical Engineering, Beijing Information Science & Technology University, Beijing, China.
Zhengzhao LiSchool of Mechanical and Electrical Engineering, Beijing Information Science & Technology University, Beijing, China.
Minghui TanSchool of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China.
Yang LiuSchool of Mechanical and Electrical Engineering, Beijing Information Science & Technology University, Beijing, China.
Jiachen PanSchool of Mechanical and Electrical Engineering, Beijing Information Science & Technology University, Beijing, China.
Na GuoSchool of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China.ORCID https://orcid.org/0000-0001-5985-5669
Qinjian ZhangSchool of Mechanical and Electrical Engineering, Beijing Information Science & Technology University, Beijing, China.ORCID https://orcid.org/0000-0001-9156-6453

Funding

Youth Teacher Interdisciplinary Research Project of University of Science and Technology Beijing FRF-IDRY-24-021
6 · The paper itself

Abstract

backgroundPrecise temperature control is critical for safe, effective laser ablation in minimally invasive tumour treatment, but current models lack full understanding of multi-physics coupling during the process.

methodsUsing poroelastic theory, we developed a fully coupled optical-thermal-fluid-solid model for high-fidelity temperature prediction to optimise surgical protocols. Ex vivo experiments in pork tissue with precise needle positioning and multi-point temperature measurements validated the model.

resultsSimulations showed thermal expansion in elastic tissues induces fluid backflow to the heating zone (thermal focussing). A smaller beam waist enhances optical penetration, while higher porosity reduces peak temperature and promotes diffusion. Validation yielded a maximum prediction error

conclusionsThis study provides a theoretical basis for precise temperature control and tissue damage prediction in laser therapy, with particular relevance to prostate tumour treatment.

Indexed as

Laser TherapyAnimalsComputer SimulationElasticityHot TemperatureHumansMaleModels, BiologicalPorosityProstatic NeoplasmsReproducibility of ResultsSwineTemperatureexperimental validationlaser ablationmulti‐physics couplingporous media heat transfertemperature field modelling

Identifiers

PMID42708429
PMCPMC13551541

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.